Long-Term Factors Associated With Falls and Fractures Poststroke

Exploring mortality risk factors and specific causes of death within 30 days after hip fracture hospitalization

This study examined the sex-specific mortality risk and causes of death soon after hip fracture in Taiwan. The objective of this study was to evaluate the 30-day mortality risk and cause of death in patients with hip fracture and identify its associated risk factors. We conducted a retrospective cohort study using data from the National Health Insurance Research Database in Taiwan from 2000 to 2015. This study included patients aged 50 years or older who were admitted to a hospital with a hip fracture diagnosis for the first time. Of 285,891 patients hospitalized for their first hip fracture, 8,505 (2.98%) died within 30 days. The mortality risk of hip fracture declined from 3.76% in 2000 to 2.92% in 2015. Circulatory system diseases like ischemic heart disease and cerebrovascular disease were the most common cause of death and accounted for 22% of deaths within 30 days after fracture. Accidents and unintentional injuries caused 18% of deaths, followed by malignant neoplasms in 10% of deaths. Multivariate Cox regression identified older age, male sex, higher Charlson Comorbidity Index (CCI), suburban or rural residence, and lower income as risk factors for hip fracture mortality. The 30-day mortality risk of hip fractures has decreased but remains correlated with male sex, older age, and comorbidities. Circulatory diseases were the main cause of death. Early identification and treatment by experienced clinicians may optimize outcomes, minimize complications, and reduce mortality risk in the 30 days following hip fracture.

Enhancing safety in the ischaemic and haemorrhagic stroke population: exploring the efficacy of self-releasing chair alarm belts

INTRODUCTION

A quality improvement study evaluated the effectiveness of implementing self-releasing chair alarm belts in an inpatient rehabilitation facility (IRF) for patients who had a stroke. The objective of this study is to assess the effectiveness of self-releasing chair alarms as a chair-level fall preventive tool in patients who had a stroke in the IRF setting.

METHODS

A preintervention and postintervention quality improvement study was conducted in an IRF to address the high rate of falls in the stroke population. Falls from wheelchairs were identified as a significant concern, leading to the implementation of self-releasing safety belts (Posey HeadStart Notification Sensor Belts) with alarm systems as an intervention. In the preintervention phase (July 2021 to January 2022) falls from chairs while on standard fall precautions were recorded to establish a baseline. In the intervention phase, the self-releasing chair alarm belts were introduced along with standard fall precautions. The postintervention phase spanned from February 2022 to July 2022.

RESULTS

In the preintervention phase, 20 out of 86 stroke subjects experienced a total of 30 falls from chairs. However, in the postintervention phase, only one subject experienced a fall from a chair out of 104 stroke subjects. The mean percentage of subjects involved in falls decreased from 24±11.4% to 1±0.4% (p<0.00001), and the mean fall rate per 1000 patient days declined from 4.6±2 to 0.2±0.1 (p<0.0001).

CONCLUSIONS

The implementation of self-releasing chair alarm belts significantly reduced falls from chairs among patients who had a stroke in the IRF setting. These findings highlight the effectiveness of this intervention in improving patient safety and fall prevention in IRFs.

Identifying best fall-related balance factors and robotic-assisted gait training attributes in 105 post-stroke patients using clinical machine learning models

BACKGROUND

Despite the promising effects of robot-assisted gait training (RAGT) on balance and gait in post-stroke rehabilitation, the optimal predictors of fall-related balance and effective RAGT attributes remain unclear in post-stroke patients at a high risk of fall.

OBJECTIVE

We aimed to determine the most accurate clinical machine learning (ML) algorithm for predicting fall-related balance factors and identifying RAGT attributes.

METHODS

We applied five ML algorithms- logistic regression, random forest, decision tree, support vector machine (SVM), and extreme gradient boosting (XGboost)- to a dataset of 105 post-stroke patients undergoing RAGT. The variables included the Berg Balance Scale score, walking speed, steps, hip and knee active torques, functional ambulation categories, Fugl- Meyer assessment (FMA), the Korean version of the Modified Barthel Index, and fall history.

RESULTS

The random forest algorithm excelled (receiver operating characteristic area under the curve; AUC = 0.91) in predicting balance improvement, outperforming the SVM (AUC = 0.76) and XGboost (AUC = 0.71). Key determinants identified were knee active torque, age, step count, number of RAGT sessions, FMA, and hip torque.

CONCLUSION

The random forest algorithm was the best prediction model for identifying fall-related balance and RAGT determinants, highlighting the importance of key factors for successful RAGT outcome performance in fall-related balance improvement.

Reliability of force plate-based measures of standing balance in the sub-acute stage of post-stroke recovery

Background

Difficulty controlling balance is one of the major contributors to the increased risk of falls among individuals with stroke. It is important to use reliable and objective measures to improve examination of balance impairments post-stroke, and to in turn inform clinical decision-making. The main objective of this study was to examine the relative and absolute reliabilities of force plate-based balance measures in quiet standing, in the sub-acute stage of stroke recovery.

Methods

Twenty-four people with sub-acute stroke (mean age = 61 years) performed two trials of quiet standing, each 30 s long. Sixteen force plate-based balance measures in the time, frequency, or nonlinear domains were calculated. Within-session test-retest reliabilities were investigated using intraclass correlation coefficient (ICC), standard error of measurement, and minimal detectable change.

Results

Mean speed of displacements of the centre of pressure along the anterior-posterior axis (ICC = 0.91; CI95 % = [0.83, 0.95]), and directional weight-bearing asymmetry (ICC = 0.91; CI95 % = [0.82, 0.95]) demonstrated high relative reliabilities, followed by the speed-based symmetry index and absolute weight-bearing asymmetry (both ICCs = 0.86; CI95 % = [0.74, 0.93]).

Conclusions

Mean speeds of centre of pressure, directional weight-bearing asymmetry, and speed-based symmetry index are the most reliable force plate-based measures that were evaluated in our study, and can be included in the balance assessments of individuals within the sub-acute stage of post-stroke recovery. These findings can better inform clinicians about the specific balance problems experienced by people in this population.

Fracture Risk Increases After Stroke or Transient Ischemic Attack and Is Associated With Reduced Quality of Life

BACKGROUND

Fractures are a serious consequence following stroke, but it is unclear how these events influence health-related quality of life (HRQoL). We aimed to compare annualized rates of fractures before and after stroke or transient ischemic attack (TIA), identify associated factors, and examine the relationship with HRQoL after stroke/TIA.

METHODS

Retrospective cohort study using data from the Australian Stroke Clinical Registry (2009-2013) linked with hospital administrative and mortality data. Rates of fractures were assessed in the 1-year period before and after stroke/TIA. Negative binomial regression, with censoring at death, was used to identify factors associated with fractures after stroke/TIA. Respondents provided HRQoL data once between 90 and 180 days after stroke/TIA using the EuroQoL 5-dimensional 3-level instrument. Adjusted logistic regression was used to assess differences in HRQoL at 90 to 180 days by previous fracture.

RESULTS

Among 13 594 adult survivors of stroke/TIA (49.7% aged ≥75 years, 45.5% female, 47.9% unable to walk on admission), 618 fractures occurred in the year before stroke/TIA (45 fractures per 1000 person-years) compared with 888 fractures in the year after stroke/TIA (74 fractures per 1000 person-years). This represented a relative increase of 63% (95% CI, 47%-80%). Factors associated with poststroke fractures included being female (incidence rate ratio [IRR], 1.34 [95% CI, 1.05-1.72]), increased age (per 10-year increase, IRR, 1.35 [95% CI, 1.21-1.50]), history of prior fracture(s; IRR, 2.56 [95% CI, 1.77-3.70]), and higher Charlson Comorbidity Scores (per 1-point increase, IRR, 1.18 [95% CI, 1.10-1.27]). Receipt of stroke unit care was associated with fewer poststroke fractures (IRR, 0.67 [95% CI, 0.49-0.93]). HRQoL at 90 to 180 days was worse among patients with prior fracture across the domains of mobility, self-care, usual activities, and pain/discomfort.

CONCLUSIONS

Fracture risk increases substantially after stroke/TIA, and a history of these events is associated with poorer HRQoL at 90 to 180 days after stroke/TIA.

A Systematic Review of Fall Risk Factors in Stroke Survivors: Towards Improved Assessment Platforms and Protocols

Background/Purpose: To prevent falling, a common incident with debilitating health consequences among stroke survivors, it is important to identify significant fall risk factors (FRFs) towards developing and implementing predictive and preventive strategies and guidelines. This review provides a systematic approach for identifying the relevant FRFs and shedding light on future directions of research. Methods: A systematic search was conducted in 5 popular research databases. Studies investigating the FRFs in the stroke community were evaluated to identify the commonality and trend of FRFs in the relevant literature. Results: twenty-seven relevant articles were reviewed and analyzed spanning the years 1995-2020. The results confirmed that the most common FRFs were age (21/27, i.e., considered in 21 out of 27 studies), gender (21/27), motion-related measures (19/27), motor function/impairment (17/27), balance-related measures (16/27), and cognitive impairment (11/27). Among these factors, motion-related measures had the highest rate of significance (i.e., 84% or 16/19). Due to the high commonality of balance/motion-related measures, we further analyzed these factors. We identified a trend reflecting that subjective tools are increasingly being replaced by simple objective measures (e.g., 10-m walk), and most recently by quantitative measures based on detailed motion analysis. Conclusion: There remains a gap for a standardized systematic approach for selecting relevant FRFs in stroke fall risk literature. This study provides an evidence-based methodology to identify the relevant risk factors, as well as their commonalities and trends. Three significant areas for future research on post stroke fall risk assessment have been identified: 1) further exploration the efficacy of quantitative detailed motion analysis; 2) implementation of inertial measurement units as a cost-effective and accessible tool in clinics and beyond; and 3) investigation of the capability of cognitive-motor dual-task paradigms and their association with FRFs.

Effects of Creatine Supplementation and Progressive Resistance Training in Stroke Survivors

The purpose was to investigate the effects of progressive resistance training (PRT) and creatine supplementation in stroke survivors. Participants were randomized to one of two groups: creatine (n = 5; 51 ± 16y) or placebo (n = 3; 73 ± 8y) during 10 weeks of supervised PRT. Prior to and following PRT and supplementation, assessments were made for body composition (lean tissue and fat mass), muscle thickness, muscle strength (1-repetition maximum), functional exercise capacity (6-minute walk test, Berg Balance Scale; BBS), cognition (Montreal Cognitive Assessment; MoCA), and symptoms of anxiety (Generalized Anxiety Disorder Assessment-7; GAD-7) and depression (Center for Epidemiological Studies Depression Scale; CES-D). There were time main effects for leg press strength (increased; p = 0.001), chest press strength (increased; p = 0.003), elbow flexor muscle thickness (increased; p = 0.007), BBS (increased; p = 0.002), MoCA (increased; p = 0.031) and CES-D (decreased; p = 0.045). There was a group x time interaction for the 6 minute walk test (p = 0.039). The creatine group significantly increased walking distance over time (p = 0.002) with no change in the placebo group (p = 0.120). Ten weeks of PRT had some positive effects on measures of muscle strength and size, balance, cognition and depression. The addition of creatine to PRT significantly improved walking performance in stroke survivors.

Utility of an obstacle-crossing test to classify future fallers and non-fallers at hospital discharge after stroke: A pilot study

BACKGROUND

Existing clinical assessments of balance and functional mobility have poor predictive accuracy for prospectively identifying post-stroke fallers, which may be due to a lack of ecological complexity that is typical of community-based fall incidents.

RESEARCH QUESTION

Does an obstacle-crossing test at hospital discharge predict fall status of ambulatory stroke survivors 3 months after discharge?

METHODS

Ambulatory stroke survivors being discharged home completed an obstacle-crossing test at hospital discharge. Falls were tracked prospectively for 3 months after discharge. Logistic regression examined the relationship between obstacle-crossing at discharge (pass/fail) and fall status (faller/non-faller) at 3 months post discharge.

RESULTS

45 participants had discharge obstacle test and 3-month fall data. 21 (47 %) participants experienced at least one fall during follow-up, with 52 % of the falls occurring within the first month after discharge. Of the 21 fallers, 14 failed the obstacle-crossing test (67 % sensitivity). Among the 24 non-fallers, 20 passed the obstacle-crossing test (83 % specificity). The area under the receiver operating characteristic curve was 0.75 (95 % CI 0.60-0.90). Individuals who failed the obstacle-crossing test were 10.00 (95 % CI: 2.45-40.78) times more likely to fall in the first 3 months after discharge. The unadjusted logistic regression model correctly classified 76 % of the subjects. After adjusting for age, sex, days post stroke, and post-stroke disability, the odds ratio remained significant at 6.93 (95 % CI: 1.01-47.52) and correctly classified 79.5% of the participants.

SIGNIFICANCE

The obstacle-crossing test may be a useful discharge assessment to identify ambulatory stroke survivors being discharged home who are likely to fall in the first 3 months post discharge. Modifications to improve the obstacle-crossing test sensitivity should be explored further.

A Retrospective Cross-sectional Study on the Risk Factors of Recurrent Falls Among Inpatients

BACKGROUND

Recurrent falls are more likely to cause injuries and disabilities than single falls.

PURPOSE

This study investigated the incidence and risk factors of recurrent falls among inpatients.

METHODS

We analyzed inpatient fall data from the anomaly event notification database and electronic medical records of a hospital. We collected data regarding 1059 inpatients who had fallen during their hospital stay. Among these inpatients, 390 (36.83%) had fallen within the previous year.

RESULTS

Inpatients in the orthopedics and neurology wards were at a higher risk of recurrent falls than those in surgical wards; inpatients who were physically dependent were at a higher risk of recurrent falls than those who were physically independent; inpatients with poor vision were at a lower risk of recurrent falls than those without this issue; and inpatients who were using antidepressants were at a higher risk of recurrent falls than those who were not using antidepressants.

CONCLUSION

The risk of recurrent falls is highly correlated with ward type, physical independence, self-perceived good vision, and use of antidepressants.

Exploring possible risk factors for time to first fall and 6-month fall incidence in persons with acute stroke

Objectives:

The aim was to explore how the time to the first fall and 6-month fall incidence relates to rapidly and easily collected data in persons with acute stroke.

Methods:

Out of consecutively admitted patients with stroke at three stroke units, 284 with at least one follow-up were included in this prospective cohort study. During 6 months following discharge, participants reported falls using a diary and monthly phone calls. Data about participants’ characteristics, functions, and activities were collected during hospital stay and analyzed in relation to time to first fall by Cox regression and fall incidence by negative binomial regression.

Results:

Use of ⩾9 medications, paresis in arms, paresis in legs (National Institutes of Health Stroke Scale), impaired protective reactions in sitting (Postural Reactions Test), and limitations in self-care (Barthel Index) were decisive risk factors for time to first fall. Limitations in mobility (Step Test, 30-s Chair Stand Test) were decisive risk factors for high fall incidence (p < 0.0005).

Conclusion:

Several easily collected participant characteristics, functions, and activities were identified as risk factors for falls. The findings emphasize the width of assessments that can be used for the identification of individuals at risk for falls and that the risk factors vary in different strata of the population. These results are important when developing multivariate risk models. The risk factors differed in part when analyzing the time to the first fall and 6-month fall incidence.

Changes in kinesiostabilogram parameters and movement speed of stroke patients while increasing their physical activity due to the use of biofeedback method

Balance disorders are complications of stroke survivors. Aim of this study was the establish effectiveness of the biofeedback approach. In this intervention study 245 patients with early diagnosis of acute disturbance of cerebral circulation (ADCC) were examined. Patients able to move independently were treated by standard conservative ADCC therapy on an outpatient approach, but they continued to have problems with coordination of movement in upright position. Then they were submitted to an increasing physical activity based on five sessions of biofeedback, i.e., a complex rehabilitation of patients with motor pathology "Trust-M" according to TU 9442-001-63704475-2010. Mobility rates were assessed using a web camera. Patients' quality of life was evaluated by SF-36 questionnaire and the Hospital Anxiety and Depression Scale (HADS). All parameters were recorded before and after 5 sessions of biofeedback. After treatment, the stability indicators improved and all patients showed a significant increase in motion rate and quality of life. At the same time, the severity of pain and of depression and anxiety decreased. Negative correlations of average strength between the quadrant and patient HADS scaling rates were obtained. In conclusion, our work shows effectiveness of the biofeedback technique for correcting coordination in stroke survivors.

Falls After Stroke: A Follow-up after Ten Years in Lund Stroke Register

OBJECTIVES

To evaluate incidence of self-reported falls and associated factors in a ten-year perspective after stroke.

METHODS

From a population-based cohort of first-ever stroke patients (n = 416) included in the Lund Stroke Register between March 1, 2001, and February 28, 2002, we performed a follow up of all 145 survivors ten years after stroke. We collected data on age, gender, main stroke type, living and housing situation, general health status (question 1 in the Short Form Health Survey (SF-36), dizziness, physical activity, Barthel Index, mobility aids, moving ability inside/outside, and health-related quality of life as defined by the EuroQol 3 dimension scale (EQ-5D-3L). Factors that may relate to falls were compared between those who had experienced falls after stroke or not.

RESULTS

Ten years after stroke, 49 patients (34 %) reported falls and 96 patients (66 %) reported no falls. Compared to patients with no falls, those who reported falls were older (median age 83.3 years vs 75.6 years; p < 0.001), more often lived alone, were more dependent in daily living, had less physical activity, poorer general health status, more often needed mobility aids, were more often unable to move alone outside, and had poorer health-related quality of life in all items in EQ-5D-3L except pain/discomfort.

CONCLUSIONS

Falls had occurred in approximately one third of the participants ten years after the stroke, and were strongly associated with several measures of frailty. Our results indicate that fall prevention should in particular focus on those at high risk of falls.

Factors associated with fracture after stroke and TIA: a long-term follow-up

We assessed the long-term incidence of fractures after stroke and TIA and analyzed associated factors. The fracture incidence increases with age and is higher in stroke than in TIA. Dementia is associated with fractures after both. Our results indicate tailored measures are necessary for preventing fractures after stroke or TIA.

INTRODUCTION

In the present study, we aimed to assess the long-term incidence of fractures and analyze associated factors after stroke or transient ischemic attack (TIA).

METHODS

The current cohort study included patients who had received an initial ischemic stroke or TIA diagnosis documented anonymously in the Disease Analyzer database (IQVIA) between 2000 and 2016 by physicians in 1262 general practices in Germany. Univariate Cox and multivariate regression models were carried out.

RESULTS

Three groups (stroke, TIA, no stroke/TIA), each with 12,265 individuals, were selected (mean age 67.3 years, 48.1% female). A fracture was diagnosed in 12.9% of stroke patients and in 11.4% of TIA patients. Among male stroke patients, 11.1% had a fracture (15.4% among female stroke patients). The hazard ratio (HR) for fractures after stroke was 1.26 (CI: 1.15-1.39) and for fractures after TIA, it was 1.14 (CI: 1.03-1.25). In female stroke patients, the HR for fractures was 1.32 (CI: 1.15-1.60), while in males, it was 1.20 (CI: 1.03-1.39). Among TIA patients, females had an elevated HR for fractures (HR: 1.21; CI: 1.06-1.37). In individuals aged ≥ 80 years, an increased risk for fractures was only detected among TIA patients (HR: 1.26; CI: 1.05-1.51). Dementia and non-opioid analgesic therapy were positively associated with fracture after both stroke and TIA.

CONCLUSION

Stroke was positively associated with fracture in patients < 80 years, while TIA was positively associated with fracture in patients ≥ 80 years and females. Dementia and analgesic therapy were also associated with fracture after either stroke or TIA.

Fractures after stroke-A Danish register-based study of 106 001 patients

OBJECTIVES

To estimate the incidence of fractures, possibly caused by falls, in patients aged 65 and older with first episode of stroke, and to estimate the incidence of fracture types for this group of patients. Another objective was to investigate stroke severity and marital status, as risk factors for fractures.

MATERIALS AND METHODS

A large retrospective dataset of 116 519 patients with first episode of stroke was extracted from the Danish Stroke Registry between January 2003 and December 2017. The occurrence of fractures was identified in the Danish National Patient Registry. A univariate analysis was conducted and a multivariate analysis was conducted to determine the relationship between stroke severity and fractures, and marital status and fractures, adjusting for multiple confounders. Cox regression with time-varying covariates was used, taking time-dependent variables into account.

RESULTS

The incidence rate of fractures post-stroke was 41.07 per 1000 person-years between 2003 and 2017 in Denmark. A total of 15 872 (14.86%) sustained a fracture and the mean time at risk until outcome was 3.67 years post-stroke. Femur fracture was the most common fracture type. Mild, moderate, severe, and unknown stroke severity are associated with fractures after stroke compared to very severe stroke, and living alone at the time of stroke is associated with fractures after stroke compared to living with someone.

CONCLUSIONS

The incidence rate of fractures in Denmark was 41.07 per 1000 person-years. Moreover, mild, moderate, and severe stroke severity, and living alone at the time of stroke were found to be risk factors for fracture.

Post-stroke patients with moderate function have the greatest risk of falls: a National Cohort Study

BACKGROUND

Stroke patients have increased risks of falls. We examined national registry data to evaluate the association between post-stroke functional level and the risk of low falls among post-stroke patients.

METHODS

This retrospective cohort study analyzed data from national registries to examine the risk factors for post-stroke falls. Data for patients who suffered ischemic strokes and survived the index hospital admission was obtained from the Singapore National Stroke Registry and matched to the National Trauma Registry, from 2011 to 2015. The primary outcome measure was a low fall (fall height ≤ 0.5 m). Competing risk analysis was performed to examine the association between functional level (by modified Rankin score [mRS] at discharge) and the risk of subsequent low falls.

RESULTS

In all, 2255 patients who suffered ischemic strokes had recorded mRS. The mean age was 66.6 years and 58.5% were men. By the end of 2015, 54 (2.39%) had a low fall while 93 (4.12%) died. After adjusting for potential confounders, mRS was associated with fall risk with an inverted U-shaped relationship. Compared to patients with a score of zero, the sub-distribution hazard ratio (SHR) increased to a maximum of 3.42 (95%CI:1.21-9.65, p = 0.020) for patients with a score of 2. The SHR then declined to 2.45 (95%CI:0.85-7.12, p = 0.098), 2.86 (95%CI:0.95-8.61, p = 0.062) and 1.93 (95%CI:0.44-8.52, p = 0.38) for patients with scores of 3, 4 and 5 respectively.

CONCLUSIONS

An inverted U-shaped relationship between functional status and fall risk was observed. This is consistent with the complex interplay between decreasing mobility (hence decreased opportunity to fall) and increasing susceptibility to falls. Fall prevention intervention could be targeted accordingly. (263 words).

Derivation and External Validation of a Scoring System for Predicting Fracture Risk After Ischemic Stroke in a Canadian Cohort

Importance

The risk for low-trauma fracture is increased by more than 30% after ischemic stroke, but existing fracture risk scores do not account for history of stroke as a high-risk condition.

Objective

To derive a risk score to predict the probability of fracture within 1 year after ischemic stroke and validate it in a separate cohort.

Design, Setting, and Participants

Prognostic study of a cohort from the Ontario Stroke Registry, a population-based sample of adults in Ontario, Canada, who were hospitalized with ischemic stroke from July 1, 2003, to March 31, 2012, with 1 year of follow-up. A population-based validation cohort consisted of a sample of 13 698 consecutive stroke admissions captured across 5 years: April 2002 to March 2003, April 2004 to March 2005, April 2008 to March 2009, April 2010 to March 2011, and April 2012 to March 2013.

Exposures

Predictor variables were selected based on biological plausibility and association with fracture risk. Age, sex, and modified Rankin score were abstracted from the medical records part of the Ontario Stroke Audit, and other characteristics were abstracted from administrative health data.

Main Outcomes and Measures

Incidence of low-trauma fracture within 1 year of discharge, based on administrative health data.

Results

The Fracture Risk after Ischemic Stroke (FRAC-Stroke) Score was derived in 20 435 patients hospitalized for ischemic stroke (mean [SD] age, 71.6 [14.0] years; 9564 [46.8%] women) from the Ontario Stroke Registry discharged from July 1, 2003, to March 31, 2012, using Fine-Gray competing risk regression. Low-trauma fracture occurred within 1 year of discharge in 741 of the 20 435 patients (3.6%) in the derivation cohort. Age, discharge modified Rankin score (mRS), and history of rheumatoid arthritis, osteoporosis, falls, and previous fracture were associated with the cumulative incidence of low trauma fracture in the derivation cohort. Model discrimination in the validation cohort (n = 13 698) was good (C statistic, 0.70). Discharge mRS was an important discriminator of risk (relative integrated discrimination improvement, 8.7%), with highest risk in patients with mRS 3 and 4 but lowest in bedbound patients (mRS 5). From the lowest to the highest FRAC-Stroke quintile, the cumulative incidence of 1-year low-trauma fracture increased from 1.3% to 9.0% in the validation cohort. Predicted and observed rates of fracture were similar in the external validation cohort. Analysis was conducted from July 2016 to January 2019.

Conclusions and Relevance

The FRAC-Stroke score allows the clinician to identify ischemic stroke survivors at higher risk of low-trauma fracture within 1 year of hospital discharge. This information might be used to select patients for interventions to prevent fractures.

Walking adaptability for targeted fall-risk assessments

BACKGROUND

Most falls occur during walking and are due to trips, slips or misplaced steps, which suggests a reduced walking adaptability. The objective of this study was to evaluate the potential merit of a walking-adaptability assessment for identifying prospective fallers and risk factors for future falls in a cohort of stroke patients, Parkinson's disease patients, and controls (n = 30 for each group).

RESEARCH QUESTION

Does an assessment of walking-adaptability improve the identification of fallers compared to generic fall-risk factors alone?

METHODS

This study comprised an evaluation of subject characteristics, clinical gait and balance tests, a quantitative gait assessment and a walking-adaptability assessment with the Interactive Walkway. Subjects' falls were registered prospectively with falls calendars during a 6-month follow-up period. Generic and walking-related fall-risk factors were compared between prospective fallers and non-fallers. Binary logistic regression and Chi-square Automatic Interaction Detector analyses were performed to identify fallers and predictor variables for future falls.

RESULTS

In addition to fall history, obstacle-avoidance success rate and normalized walking speed during goal-directed stepping correctly classified prospective fallers and were predictors of future falls. Compared to the use of generic fall-risk factors only, the inclusion of walking-related fall-risk factors improved the identification of prospective fallers.

SIGNIFICANCE

If cross-validated in future studies with larger samples, these fall-risk factors may serve as quick entry tests for falls prevention programs. In addition, the identification of these walking-related fall-risk factors may help in developing falls prevention strategies.